activity
20232026
most citedLearning Lens Blur Fields

4 citations · 5 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation

Ruihang Zhang, Felix Taubner, Pooja Ravi +2

Tracking the six-degree-of-freedom (6-DoF) pose of objects and surfaces from monocular video is a long-standing problem in computer vision. To tackle this problem, existing methods…

cs.CV2026

Efficient and Training-Free Single-Image Diffusion Models

Haojun Qiu, Kiriakos N. Kutulakos, David B. Lindell

We consider the problem of generating images whose internal structure -- defined by the distribution of patches across multiple scales -- matches that of a single reference image.…

cs.CV2026

Generating HDR Video from SDR Video

SaiKiran Tedla, Francesco Banterle, Trevor Canham +6

The high dynamic range (HDR) video ecosystem is approaching maturity, but the problem of upconverting legacy standard dynamic range (SDR) videos persists without a convincing solut…

eess.IV2026

Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels

Dhruv Verma, Andrew Qiu, Roberto Rangel +8

We present Lumosaic, a compact active hyperspectral video system designed for real-time capture of dynamic scenes. Our approach combines a narrowband LED array with a coded-exposur…

cs.CV2025★ 1 cited

Generating the Past, Present and Future from a Motion-Blurred Image

SaiKiran Tedla, Kelly Zhu, Trevor Canham +4

We seek to answer the question: what can a motion-blurred image reveal about a scene's past, present, and future? Although motion blur obscures image details and degrades visual qu…

cs.CV2025

Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries

Victor Rong, Jan Held, Victor Chu +5

Though Gaussian splatting has achieved impressive results in novel view synthesis, it requires millions of primitives to model highly textured scenes, even when the geometry of the…